CVE-2022-0573
Published: 16 May 2022
Summary
CVE-2022-0573 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Jfrog Artifactory. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 9.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
JFrog Artifactory versions before 7.36.1 and 6.23.41 are affected by an insecure deserialization flaw (CWE-502) that stems from insufficient validation of a user-supplied serialized object. The vulnerability permits a specially crafted request to deserialize untrusted data, which can produce denial of service, privilege escalation, or remote code execution.
A low-privileged authenticated user can trigger the issue over the network without user interaction, obtaining high impact on confidentiality, integrity, and availability as scored by CVSS 3.1 8.8.
JFrog security advisories for CVE-2022-0573 direct administrators to upgrade to the patched releases 7.36.1 or 6.23.41 to eliminate the deserialization path.
The associated EPSS values have stayed low and stable, with a current score of 0.0592 and a recorded peak of 0.0652.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-15690
Vulnerability details
JFrog Artifactory before 7.36.1 and 6.23.41, is vulnerable to Insecure Deserialization of untrusted data which can lead to DoS, Privilege Escalation and Remote Code Execution when a specially crafted request is sent by a low privileged authenticated user due to…
more
insufficient validation of a user-provided serialized object.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.